EP1079604B1 - Image processing apparatus - Google Patents

Image processing apparatus Download PDF

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Publication number
EP1079604B1
EP1079604B1 EP20000115644 EP00115644A EP1079604B1 EP 1079604 B1 EP1079604 B1 EP 1079604B1 EP 20000115644 EP20000115644 EP 20000115644 EP 00115644 A EP00115644 A EP 00115644A EP 1079604 B1 EP1079604 B1 EP 1079604B1
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Prior art keywords
pixel
interpolation
unit
value
compensation
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German (de)
English (en)
French (fr)
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EP1079604A2 (en
EP1079604A3 (en
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Toshihiro Sasai
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Nucore Technology Inc
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Nucore Technology Inc
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4015—Image demosaicing, e.g. colour filter arrays [CFA] or Bayer patterns
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/73—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/48—Picture signal generators
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof
    • H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
    • H04N23/843—Demosaicing, e.g. interpolating colour pixel values
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/10—Circuitry of solid-state image sensors [SSIS]; Control thereof for transforming different wavelengths into image signals
    • H04N25/11—Arrangement of colour filter arrays [CFA]; Filter mosaics
    • H04N25/13—Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements
    • H04N25/134—Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements based on three different wavelength filter elements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image

Definitions

  • the present invention relates to an image processing apparatus and, more particularly, to an image processing apparatus for generating a high-quality image from a two-dimensional color image signal sensed by a single-CCD color electronic camera device.
  • an image signal having all color information (RGB or a luminance value and color difference signals) for each pixel is generated from an image having the pixel value of only one of a plurality of colors (primary colors) for each of many pixels arrayed in an almost two-dimensional checkered pattern.
  • insufficient color information at each pixel position is interpolated using the pixel values of peripheral pixels having the insufficient color information.
  • the number of pieces of information of each color by an image signal from a single-CCD color image sensing element is essentially smaller than the total number of pixels of the image sensing element.
  • an image signal generated by interpolation is blurred.
  • Figs. 15A and 15B show interpolation processing by a conventional image processing apparatus.
  • Figs. 15A and 15B show the pixel array of a color image sensing element using a so-called Bayer array. Pixels of red (R), green (G), and blue (B) are arrayed in a checkered pattern.
  • an interpolated pixel value of each color is most simply calculated by performing the following interpolation calculation using the pixel values of peripheral pixels in the same color as color information to be calculated among pixels included in a 3 x 3 sub-matrix centered on a pixel to be interpolated.
  • each color data exhibits the same results as those obtained when data is passed through a low-pass filter in units of several pixels. No high image quality can, therefore, be attained.
  • the number of calculation processes increases, and in addition the capacity of a buffer memory for temporarily storing pixel information for calculation increases in accordance with the number of pixels.
  • An image blurred by interpolation is made clearer by adjusting spatial frequency characteristics after interpolation processing to emphasize a high-frequency component.
  • a high frequency which does not originally exist cannot be emphasized.
  • a blurred image cannot be satisfactorily made clear without processing of leaving sufficient high-frequency information in interpolation.
  • the present invention has been made to overcome the conventional drawbacks, and has as its object to provide an image processing apparatus capable of obtaining a high-quality image without performing complicated pixel interpolation processing.
  • an image processing apparatus for interpolating, for an image signal which is made up of many pixels arranged on a two-dimensional plane and has a pixel value corresponding to any one of a plurality of color signals for each pixel, a pixel value at an arbitrary interpolation point arranged on the two-dimensional plane by pixel values of peripheral pixels, and generating an image signal having pixel values of all the color signals for each interpolation point, comprising an interpolation unit for interpolating a pixel value of each color signal at the interpolation point using pixel values of pixels in the same color falling within a predetermined interpolation region including the interpolation point, and outputting the pixel value as an interpolated pixel value at the interpolation point for each color signal, a compensation value calculation unit for generating a pixel compensation value for compensating a pixel value of the interpolation point using pixel values of a plurality of pixels around the interpolation point that fall within a compensation region wider than and
  • Fig. 1 shows an image processing apparatus according to an embodiment of the present invention.
  • an image processing apparatus 10 comprises an interpolation unit 4 for interpolating the pixel value of each color signal at an arbitrary interpolation point by using the pixel values of peripheral pixels of the same color falling within a predetermined interpolation region including the interpolation point arranged on a two-dimensional plane constituted by an input image signal 1, and for outputting the interpolated value as an interpolated pixel value 5 at the interpolation point for each color signal.
  • the image processing apparatus 10 further comprises a compensation value calculation unit 6 for generating a pixel compensation value 7 for compensating the pixel value of the interpolation point using the pixel values of a plurality of pixels around the interpolation point that fall within a compensation region wider than and including the interpolation region used by the interpolation unit 4, and a compensation unit 8 for compensating the interpolated pixel value 5 of each color signal at the interpolation point that is output from the interpolation unit 4 by using the pixel compensation value 7 obtained by the compensation value calculation unit 6, and for outputting the compensated value as a new pixel value 9 of each color signal at the interpolation point.
  • a compensation value calculation unit 6 for generating a pixel compensation value 7 for compensating the pixel value of the interpolation point using the pixel values of a plurality of pixels around the interpolation point that fall within a compensation region wider than and including the interpolation region used by the interpolation unit 4, and a compensation unit 8 for compensating the interpolated pixel value 5 of each color signal
  • the image signal 1 is an image signal output from an image sensing element such as a multi-color filtered CCD, i.e., an image signal having a so-called Bayer array in which R, G, and B pixels are arrayed in an almost checkered pattern.
  • an image sensing element such as a multi-color filtered CCD
  • the image signal 1 is not limited to this.
  • Figs. 2A to 2C and 3A to 3C show image processing operation according to the first embodiment of the present invention.
  • Figs. 2A to 2C show a case wherein the interpolation point is set at an R pixel
  • Figs. 3A to 3C show a case wherein the interpolation point is set at a G pixel on an R pixel line.
  • Fig. 2A shows a pixel array example
  • Fig. 2B shows filter coefficients for calculating a compensation value
  • Fig. 2C shows equations representing interpolation processing, compensation value calculation processing, and compensation processing.
  • the interpolation unit 4 calculates the interpolated pixel values 5 (G 33 , R 33 , and B 33 ) at an interpolation point (X 33 ) set as the center by using the pixel values of predetermined pixels adjacent to the interpolation point X 33 among the pixels of the input image signal 1, as shown in Fig. 2A.
  • Each interpolated pixel value 5 is calculated by the equation shown in Fig. 2C using the pixel values of peripheral pixels of the same color falling within an interpolation region 12 of 3 x 3 pixels which surrounds the interpolation point X 33 , i.e., is centered on the interpolation point X 33 .
  • the compensation value calculation unit 6 generates the pixel compensation value 7 (HF 33 ) for compensating the pixel value of each color signal at the interpolation point by the equation shown in Fig. 2C using the pixel values of predetermined pixels around the interpolation point X 33 used by the interpolation unit 4, the filter coefficients shown in Fig. 2B, and a compensation scale factor (weighting factor) gf.
  • Calculation of the pixel compensation value 7 uses predetermined pixels falling within a range, e.g., compensation region 13 of 5 x 5 pixels corresponding to the filter coefficients that is wider than the interpolation region used for interpolation processing of the interpolation unit 4, and includes the interpolation region.
  • the interpolated pixel value 5 calculated by the interpolation unit 4 does not contain any high spatial frequency component in the pixel region centered on the interpolation point. To the contrary, the pixel compensation value 7 contains a high spatial frequency component in the pixel region.
  • the compensation unit 8 adds (or integrates) the pixel compensation value 7 to the interpolated pixel values 5, compensates the interpolated pixel values of the respective color signals, and calculates new pixel values 9 (G' 33 , R' 33 , and B' 33 ) of the respective color signals at the interpolation point (X 33 ).
  • Fig. 3A shows a pixel array example
  • Fig. 3B shows filter coefficients for calculating a compensation value
  • Fig. 3C shows equations representing interpolation processing, compensation value calculation processing, and compensation processing.
  • the interpolation point In processing operation when the interpolation point is set at a G pixel on an R pixel line, the interpolation point is shifted by one pixel in the pixel line direction, compared to processing operation when the interpolation point is set at an R pixel, as shown in Figs. 2A to 2C.
  • an interpolation point (X 34 ) is originally a G pixel
  • the equations for calculating the interpolated pixel values 5 by the interpolation unit 4 and the equation for calculating the pixel compensation value 7 by the compensation value calculation unit 6 change as shown in Fig. 3C.
  • the filter coefficients for calculating the pixel compensation value 7 by the compensation value calculation unit 6 change as shown in Fig. 3B.
  • Figs. 4A and 4B show the spatial frequency characteristics of the pixel compensation value obtained by the compensation value calculation unit.
  • Fig. 4A shows the case of Fig. 2B
  • Fig. 4B shows the case of Fig. 3B.
  • the compensation scale factor gf in the HF equation is 16.
  • the interpolation point is on an R pixel line.
  • R and B pixels in Figs. 2A to 2C and 3A to 3C are exchanged.
  • the interpolation unit 4 calculates each interpolated pixel value 5 at the interpolation point from the pixel values of pixels in the same color falling within the predetermined interpolation region 12 including the interpolation point.
  • the compensation value calculation unit 6 calculates the pixel compensation value 7 at the interpolation point from the pixel values of a plurality of pixels falling within the compensation region 13 wider than and including the interpolation region used by the interpolation unit 4.
  • the compensation unit 8 compensates the interpolated pixel value 5 using the pixel compensation value 7.
  • a high spatial frequency component which cannot be obtained by low-order interpolation in the interpolation unit 4 is compensated by using the pixel compensation value 7, thereby obtaining a new pixel value containing the high spatial frequency component.
  • a high-quality image having a high-frequency component can be attained by relatively simple processing without performing high-order interpolation for all color signals using the pixel values of pixels in a wide range or performing complicated interpolation processing under various conditions around the interpolation point, unlike the prior art.
  • the compensation value calculation unit 6 calculates the pixel compensation value 7 using only the pixel values of a plurality of pixels having a color signal which represents the luminance component of an image signal, e.g., using only the pixel values of G pixels for an image signal having a Bayer array, as shown in Figs. 2A to 2C and 3A to 3C.
  • the compensation unit 8 can compensate only luminance components for the pixel values of pixels of each color signal without changing color balance.
  • the pixel which represents the luminance component is the largest in number and has the highest frequency component.
  • a new pixel value containing a higher frequency component can be obtained, compared to a pixel value interpolated by only pixels of the same color.
  • Figs. 5A to 5C show image processing operation according to the second embodiment of the present invention.
  • Fig. 5A shows a pixel array example
  • Fig. 5B shows filter coefficients for calculating a compensation value
  • Fig. 5C shows equations representing interpolation processing, compensation value calculation processing, and compensation processing.
  • the interpolation point is set at a pixel.
  • the interpolation point is not limited to the same position as a pixel, and may be set at a position shifted from a pixel position, i.e., between pixels.
  • an interpolation point a is set between pixels.
  • the interpolation point a is set at a position shifted from the R pixel R 33 serving as the interpolation point X 33 in Fig. 2A to an upper right position and surrounded by four, R pixel R 33 , G pixel G 32 , G pixel G 43 , and B pixel B 42 .
  • an interpolation unit 4 calculates, based on the equation shown in Fig. 5C, each interpolated pixel value 5 (Ga, Ra, or Ba) from peripheral pixels of the same color included in an interpolation region 14G of 2 x 2 pixels or an interpolation region 14R or 14B of 3 x 3 pixels including the interpolation point a .
  • a compensation value calculation unit 6 generates a pixel compensation value 7 (HFa) for compensating the pixel value of each color signal at the interpolation point a by the equation shown in Fig. 5C using the pixel values of a plurality of pixels around the interpolation point a that fall within a range wider than and including the interpolation region used by the interpolation unit 4, the filter coefficients shown in Fig. 5B, and a compensation scale factor (weighting factor) gf.
  • HFa pixel compensation value 7
  • Calculation of the pixel compensation value 7 uses predetermined pixels falling within a range centered on the interpolation point a , and wider than the region used at the interpolation unit 4 for interpolating each color value, e.g., compensation region 15 of 4 x 4 pixels corresponding to the filter coefficients.
  • the interpolated pixel value 5 calculated by the interpolation unit 4 does not contain any high spatial frequency component in the pixel region centered on the interpolation point.
  • the pixel compensation value 7 contains a high spatial frequency component corresponding to the pixel region and coefficients.
  • a compensation unit 8 adds (or integrates) the pixel compensation value 7 to the interpolated pixel values 5, compensates the interpolated pixel values 5 of the respective color signals, and calculates new pixel values 9 (G'a, R'a, and B'a) of the respective color signals at the interpolation point a .
  • Figs. 6A to 6C show the setting position of the interpolation point.
  • the interpolation point a is set at the upper right of the R pixel R 33 .
  • the setting position of the interpolation point a may be set at the upper left, lower right, or lower left of the R pixel R 33 , as shown in Figs. 6A to 6C.
  • Fig. 6A the pixel array example in Fig. 5A is horizontally reversed (or rotated through 90°).
  • the filter coefficients in Fig. 5B are horizontally reversed (or rotated through 90°).
  • Figs. 6B and 6C R and B pixels in Figs. 5A to 5C and 6B are exchanged.
  • the interpolated pixel values 5 are calculated by exchanging R and B.
  • the interpolated pixel values 5 are calculated from pixels falling within the interpolation region of 2 x 2 pixels or 3 x 3 pixels including the interpolation point a
  • the pixel compensation value 7 is calculated from predetermined pixels falling within the compensation region of 4 x 4 pixels wider than the interpolation region.
  • the interpolation point is positioned at the upper right of an R pixel.
  • a case wherein the interpolation point is positioned at the upper right of a G or B pixel corresponds to any one of the cases shown in Figs. 5A and 6A to 6C.
  • the interpolation point a is set at the upper right of a G pixel on an R pixel line, the positional relationship between the target pixel and the interpolation point coincides with that in Fig. 6A.
  • Figs. 7A and 7B show the spatial frequency characteristics of the pixel compensation value obtained by the compensation value calculation unit.
  • Fig. 7A shows the case of Fig. 5B
  • Fig. 7B shows the case of Fig. 6B.
  • the compensation scale factor gf in the HF equation is 32.
  • the pixel compensation value 7 is calculated using only the pixel values of a plurality of pixels having a color signal which represents the luminance component of an image signal, e.g., using only the pixel values of G pixels for an image signal having a Bayer array. For this reason, the compensation unit 8 can compensate only luminance components for the pixel values of pixels of each color signal without changing color balance.
  • the spatial frequency characteristics of the pixel compensation value 7 change for each pixel. However, only the direction of the pixel compensation value 7 changes, and its characteristics remain unchanged.
  • a change in the characteristics of the pixel compensation value 7 caused by the position of the interpolation point is smaller than a case wherein the number of pixels on one side is odd. Thus, a higher-quality image can be obtained.
  • Figs. 8A and 8B show output examples of an image obtained by the second embodiment.
  • the output examples are interpolation results (simulation results) of an image " " sensed by a single-CCD color image sensing element.
  • Original image " " has black and white colors only.
  • Each rectangle is a partial enlarged portion of the image " " (for 10 x 10 pixels).
  • Fig. 8A shows an output example when only the same low-order interpolation as that shown in Figs. 15A and 15B is performed.
  • Fig. 8B shows an output example when the present invention is applied using the coefficient filter in Fig. 2B, 3B, or 5B.
  • the two output examples are compared to find that, as is apparent from the enlarged portion in Fig. 8B, generation of a blur of the original image and generation of a false color (which should not originally exist at a pixel position) are suppressed at an edge portion at which the color changes from black to white, and a high-quality clearer image is obtained, compared to Fig. 8A.
  • the interpolation unit 4 and compensation value calculation unit 6 directly receive the image signal 1.
  • a region value calculation unit 2 is adopted to receive and pre-process an image signal 1, and then the image signal 1 is distributed to an interpolation unit 4A and compensation value calculation unit 6A.
  • the region value calculation unit 2 receives the image signal 1, and outputs the sums of the pixel values of pixels belonging to respective pixel regions, as region values 3 for the respective pixel regions set in advance on a sub-matrix made up of a plurality of pixels including the interpolation point as the center.
  • the region values 3 calculated by the region value calculation unit 2 are parallel-output in synchronism with reception of a pixel block.
  • Processes executed in the interpolation unit 4A and compensation value calculation unit 6A are the same as in the interpolation unit 4 and compensation value calculation unit 6 in Fig. 1 except that the interpolation unit 4A and compensation value calculation unit 6A do not directly receive the image signal 1, but selectively use the region values 3 parallel-output from the region value calculation unit 2 to sequentially calculate and output interpolated pixel values 5 and a pixel compensation value 7 at the interpolation point on the corresponding sub-matrix.
  • Figs. 10A to 10C show the operation of the region value calculation unit.
  • Fig. 10A shows the two-dimensional plane image of an image signal
  • Fig. 10B shows a sub-matrix
  • Fig. 10C shows regions set on the sub-matrix.
  • the region value calculation unit 2 sequentially receives pixel values forming the image signal 1 by a predetermined number of pixel lines (j direction), e.g., five pixel lines as the number of pixel lines necessary for calculating the pixel compensation value 7 in parallel with each other in units of single pixel columns as pixel blocks 21.
  • a sub-matrix 22 is formed from the pixel blocks 21 corresponding to five pixel columns as a predetermined number of successively received pixel columns (i direction), e.g., the number of pixel columns necessary for calculating the pixel compensation value 7.
  • the sub-matrix 22 shifts by one pixel in the i direction on the two-dimensional plane image.
  • the region value calculation unit 2 calculates the sums, i.e., region values 3 of the pixel values of pixels belonging the respective pixel regions. Then, the region value calculation unit 2 parallel-outputs the region values in synchronism with reception of the pixel block 21.
  • the interpolation unit 4A and compensation value calculation unit 6A selectively use the parallel-output region values, and sequentially calculate and output interpolated pixel values and a pixel compensation value at the interpolation point on the corresponding sub-matrix.
  • pixel regions are set based on equations used by the interpolation unit 4A and compensation value calculation unit 6A.
  • Fig. 10C shows the pixel regions A to F when interpolation processing and pixel compensation value calculation processing in the first embodiment are employed.
  • Fig. 11 shows an arrangement of the region value calculation unit.
  • reference numerals 121 to 125 denote shift registers each made up of four series-connected 1-pixel clock delays 211 to 214, 221 to 224, 231 to 234, 241 to 244, or 251 to 254.
  • the shift registers 121 to 125 are arranged in parallel with each other for pixel values Vi1 to Vi5 of the pixel blocks 21.
  • the "1-pixel clock delay” (to be referred to as a delay hereinafter) is a latch circuit for delaying and outputting an input pixel value in synchronism with a clock signal in the pixel line direction (i direction).
  • the delays of the shift registers 121 to 125 output pixel values at pixel positions on the sub-matrix 22.
  • adders 201 to 207 add all pixels belonging to the respective pixel regions and outputs from corresponding delays, thereby obtaining respective region values.
  • the adder 201 adds outputs from the delays 221, 223, 241, and 243 corresponding to the region A in Fig. 10C to obtain a region value A.
  • the region value calculation unit 2 calculates the region values 3 from the received sub-matrix 22, and parallel-outputs them.
  • Fig. 12 shows an arrangement example of the interpolation unit and compensation value calculation unit.
  • the interpolation unit 4A is constituted by R, B, and G interpolation units 41, 42, and 43 for performing interpolation processes concerning R, B, and G pixels, respectively.
  • the interpolation units 41 to 43 parallel-calculate a plurality of interpolated pixel values corresponding to the position of the interpolation point using integrators (dividers) and adders.
  • Corresponding interpolated pixel values are selected by selectors 41A to 43A based on O/E and R/B signals or only the O/E signal representing the position of an actual interpolation point, and output as interpolated pixel values 5 (R, B, and G) at the interpolation point.
  • the R/B signal represents whether the interpolation point is on an R or B pixel line
  • the O/E signal represents whether the interpolation point is at a G pixel.
  • the compensation value calculation unit 6A also parallel-calculates a plurality of interpolated pixel values corresponding to the position of the interpolation point using integrators (dividers) and adders.
  • a corresponding interpolated pixel value is selected by a selector 61 based on the O/E signal representing the position of an actual interpolation point, and output as a pixel compensation value 7 (HF) at the interpolation point.
  • the integrator (divider) used by the compensation value calculation unit 6A can be formed from a bit shift circuit, which greatly simplifies the circuit arrangement.
  • Fig. 13 shows an arrangement of a compensation unit.
  • reference numeral 81 denotes an integration unit made up of a plurality of integrators for integrating (dividing) the pixel compensation value 7 by a power value of 2.
  • the respective integrators are parallel-connected.
  • Reference numeral 82 denotes an adder for selectively adding at least one of outputs from the integrators of the integration unit 81 based on the compensation scale factor (weighting factor) gf.
  • Reference numeral 84 denotes an adder for individually adding an output 83 from the adder 82 to the interpolated pixel values 5 (R, B, and G), and outputting the sums as new pixel values 9 (R', B', and C') at the interpolation point that are compensated with the pixel compensation value 7.
  • the interpolated pixel value 5 can be compensated by an intensity corresponding to gf.
  • the integration unit 81 is constituted by a plurality of integrators for integrating power values of 2, an arbitrary compensation scale factor gf can be integrated to the pixel compensation value 7 with a simple circuit arrangement.
  • gf can be automatically switched in accordance with positional information of the interpolation point to adjust the reference level of the pixel compensation value 7.
  • the third embodiment adopts the region value calculation unit 2.
  • the region value calculation unit 2 calculates, as the region values 3 for respective pixel regions set in advance on the sub-matrix 22, the sums of the pixel values of pixels belonging to the respective pixel regions, and parallel-outputs the region values 3 in synchronism with reception of the pixel block 21.
  • the interpolation unit 4A and compensation value calculation unit 6A selectively use the parallel-output region values, and sequentially calculate and output interpolated pixel values and a pixel compensation value at the interpolation point on the corresponding sub-matrix 22.
  • the sub-matrix shifts on the two-dimensional plane image of the image signal 1 in synchronism with reception of the pixel block 21.
  • a new interpolated pixel value compensated with the pixel compensation value 7 is attained as the interpolated pixel value of each color signal at the interpolation point corresponding to the sub-matrix. This realizes pipeline processing synchronized with reception of the pixel block 21.
  • An interpolated pixel value for a higher image quality can be calculated at a higher speed, compared to a case wherein interpolation processing is done by numerical calculation using DSP or the like.
  • the third embodiment has been described by exemplifying the first embodiment.
  • the third embodiment can be similarly applied to the second embodiment by constituting the circuit in correspondence with the numbers of pixel lines and pixel columns necessary for compensation value calculation processing. Also in this case, the same effects as those described above can be obtained.
  • the number of necessary pixels decreases, the number of latches for the buffer memory or delay decreases, and the necessary circuit area reduces.
  • the decrease in the number of lines of data to be held in the buffer memory is very effective for an image sensing apparatus such as a recent digital still camera having a large number of pixels.
  • Fig. 14 shows the arrangement of an image processing apparatus according to the fourth embodiment of the present invention.
  • the interpolated pixel value 5 obtained by the interpolation unit 4 or 4A is compensated with the pixel compensation value 7.
  • the present invention is not limited to this, and the interpolated pixel value 5 may be compensated with the pixel compensation value 7 after the value 5 undergoes various processes.
  • a color correction unit 11A is interposed between an interpolation unit 4 and a compensation unit 8. After an interpolated pixel value 5 undergoes color balance correction, it is compensated with a pixel compensation value 7.
  • a signal conversion unit 11B is interposed between the interpolation unit 4 and the compensation unit 8. After the interpolated pixel value 5 is converted into luminance and color difference signals, the luminance signal is compensated with the pixel compensation value 7.
  • the interpolated pixel value is compensated using the pixel compensation value 7 so as to uniformly compensate pixel values for respective color signals in order to compensate the luminance value.
  • the interpolated pixel value 5 undergoes color balance correction, as shown in Fig. 14A, it is compensated with the pixel compensation value 7 after color balance correction. Pixel values can be more uniformly compensated for respective color signals, and the luminance value at the interpolation point can be more accurately compensated than in a case wherein color balance is corrected later.
  • the luminance signal is compensated with the pixel compensation value 7 after signal conversion processing.
  • the luminance value at the interpolation point can be more accurately compensated than in a case wherein signal conversion processing is done later.
  • a gamma correction unit 11C is interposed between the interpolation unit 4 and the compensation unit 8. After the interpolated pixel value 5 undergoes gamma correction, the luminance signal is compensated with the pixel compensation value 7.
  • General gamma correction compresses the luminance to a high-frequency region. By compensating the luminance signal with the pixel compensation value 7 after gamma correction, a lost contrast can be restored.
  • the pixel compensation value is calculated using pixels present in a square range.
  • the present invention is not limited to this, and pixels in a rectangular range may be used.
  • the pixel compensation value is calculated from a range of 4 x 5 pixels having a length corresponding to five pixels in the i direction.
  • the compensation value of a high spatial frequency can be calculated not only in the direction of G pixels G 21 , G 32 , G 43 , and G 54 , but also in the direction of G pixels G 41 , G 32 , G 23 , and G 14 in Fig. 5A.
  • the present invention employs a compensation value calculation unit for generating a pixel compensation value for compensating the pixel value of the interpolation point using the pixel values of a plurality of pixels around the interpolation point that fall within a compensation region wider than and including an interpolation region used by an interpolation unit.
  • the interpolated pixel value of each color signal at the interpolation point that is output from the interpolation unit is compensated using the pixel compensation value corresponding to the interpolation point that is obtained by the compensation value calculation unit.
  • the compensated value is output as a new pixel value of each color signal at the interpolation point.
  • a high spatial frequency component which cannot be obtained by low-order interpolation in the interpolation unit is compensated by using the pixel compensation value.
  • a new pixel value having spatial frequency characteristics determined by the range and coefficients of the compensation region is obtained.
  • a high-quality image having a high-frequency component can be attained by relatively simple processing without performing high-order interpolation for all color signals using the pixel values of pixels in a wide range or performing complicated interpolation processing under various conditions around the interpolation point, unlike the prior art.

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EP20000115644 1999-07-22 2000-07-20 Image processing apparatus Expired - Lifetime EP1079604B1 (en)

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JP20741299A JP4317619B2 (ja) 1999-07-22 1999-07-22 画像処理装置
JP20741299 1999-07-22

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CN103854254B (zh) * 2012-11-28 2016-12-21 北京大学 一种基于自回归模型的任意比例图像插值方法

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DE60015265D1 (de) 2004-12-02
JP2001054123A (ja) 2001-02-23
EP1079604A2 (en) 2001-02-28
US6636629B1 (en) 2003-10-21
EP1079604A3 (en) 2003-11-26
JP4317619B2 (ja) 2009-08-19
DE60015265T2 (de) 2006-02-02

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